In how many ways can the letters of SEA be arranged? In how many ways can the letters of SEE be arranged?

Size: px
Start display at page:

Download "In how many ways can the letters of SEA be arranged? In how many ways can the letters of SEE be arranged?"

Transcription

1

2

3 -Pick up Quiz Review Handout by door -Turn to Packet p. 5-6 In how many ways can the letters of SEA be arranged? In how many ways can the letters of SEE be arranged? - Take Out Yesterday s Notes we ll finish a few notes first today! - Get out warm-up paper What s the difference? How do you account for it?

4 In how many ways can the letters of SEA be arranged? In how many ways can the letters of SEE be arranged? What s the difference? How do you account for it?

5 The number of n objects of which p are alike and q are alike is: n is total number of objects p is the amount of one alike object number of multiple e s or 7 s, etc q is the amount of another alike object Ex: How many arrangements of SEE are possible? n! pq!!

6 How many different 11-letter patterns can be formed with letters of MISSISSIPPI? 11! 4!4!2! 34,650 How many different 9-letter patterns can be formed with letters of TENNESSEE? 9! 4!2!2! 3780 How many different 7-letter patterns can be formed with the letters of WYOMING? Why is this third 7! 5040 example different? The letters of Wyoming are all distinct.

7 Recall or events mean addition because all of these could be possibilities: option1 + option2 + option3 However and events means multiply because all of these will occur together: option1 * option2 * option3

8 n C r n! n! ( n r)! r! n r! r! 3. A local restaurant is offering a 3 item lunch special. If you can choose 3 or fewer items from a total of 7 choices, how many possible combinations can you select? C C C C A hockey team consists of ten offensive players, seven defensive players, and three goaltenders. In how many ways can the coach select a starting line up of three offensive players, two defensive players, and one goaltender? C C C

9 The members of a string quartet composed of 2 violinists, a violist, and a cellist are to be selected from a group of 6 violinists, 3 violists, and 2 cellists, respectively. a) In how many ways could the string quartet be formed? b) In how many ways can the string quartet be formed if one of the violinists is to be designated as 1 st violinists and the other is to be designated as 2 nd violinists?

10 Day 5 First 8 in 8 video BDTc6ME&feature=youtu.be&hd=1 We ll watch this while we practice

11 Day 4 Warm-up: Permutations vs. Combinations 1. If you have a standard deck of cards in how many different hands exists of: a) 5 cards b) 2 cards 2. Choose 3 desserts from a menu of 8 desserts 3. Choose a winner and a runner up from the 40 Miss Pickle Princess contestants 4. How many different 11-letter arrangements are there for a) PALINDROMES b) PRICELESSLY? 5. Assign the part of a play to the 4 different lead characters from a group of 20 who tried out and 3 backstage crew members (they all have the same job) from a group of 5. Riddle: What integer between when spelled out is in alphabetical order?

12 Warm-up: Permutations vs. Combinations 1. If you have a standard deck of cards in how many different hands exists of: a) 5 cards b) 2 cards 52C5 2,598,960 52C2 1, Choose 3 desserts from a menu of 8 desserts Combination 8C 3 = Choose a winner and a runner up from the 40 Miss Pickle Princess contestants Permutation 40P 2 = How many different 11-letter arrangements are there for a) PALINDROMES b) PRICELESSLY? 11! = 39,916,800 11! (2!2!2!) 4,989, Assign the part of a play to the 4 different lead characters from a group of 20 who tried out and 3 backstage crew members (they all have the same job) from a group of 5. Perm&Comb 20 P 4 * 5 C 3 = 1,162,800

13 Riddle: What integer between when spelled out is in alphabetical order? Forty!

14 This is an unusual paragraph. I'm curious as to just how quickly you can find out what is so unusual about it. It looks so ordinary and plain that you would think nothing was wrong with it. In fact, nothing is wrong with it! It is highly unusual though. Study it and think about it, but you still may not find anything odd. But if you work at it a bit, you might find out. Try to do so without any coaching!

15

16 Homework Day 4 Tonight s HW = Quiz Review Sheet & Study for tomorrow s Quiz Study your notations, Formulas, etc!! Check Review Sheet answers online tonight!

17 Section 7.1

18 An Experiment is an activity with observable results. (called outcomes) Sample Space: The set of all possible outcomes Must use S = {,,, } **must include ALL outcomes! Event: subset of a sample space List events using {...}, {...},

19 Ex. Rolling a die Outcomes: landing with a 1,2,3,4,5, or 6 face up Sample Space: S = {1,2,3,4,5,6} Events:, {1}, {2}, {3}, {4}, {5}, {6}, S S is that certain event (contains all outcomes) Like the Universal set so it must occur is an impossible event. (no elements or outcomes)

20 Examples a. Tossing a coin b. Choosing a card from a deck of cards c. Drawing a marble from a bag containing two red and three blue S={Heads, Tails} S={R, R, B, B, B} W

21 An experiment consists of spinning the hand on the disk below twice. If it lands on a line, spin again. Find the sample space. Then determine the event E in which at least one B occurs. Sample Space: B P G S={ BB, GB, BG, BP, PB, GG, GP, PG, PP} Event E: {BB}, {GB}, {BG}, {PB}, {BP}

22 Let S = {q, r, t} be a sample space of an experiment. List all of the events of this experiment., {q}, {r}, {t}, {q, r}, {q, t}, {r, t}, {q, r, t} or (S) When asked to write ALL events, include empty set and S. *Similar to #23 in your HW

23 You have gone to the SPCA to adopt a puppy. You would like a poodle or cocker spaniel, that is brown or grey, and has either a red or orange collar. How many possible puppies fit your criteria? List the sample space. S={PBR}, {PBO}, {PGR}, {PGO}, {CBR}, {CBO}, {CGR}, {CGO}

24 The union of events A & B is the event A B The intersection of events A & B is the event A B The complement of event A is the event A c

25 Review Example: Rolling a die. S={1,2,3,4,5,6} Let A = rolling a number less than 4 B = rolling an odd number Find: A B = {1,2,3,5} A A B B c = {1,3} = {2}

26 Let P be any sample space and W, R, and S be any three events. Describe the given events using symbolic notation. 1. The event that S and W occur. 2. The event that R and S do not occur. 3. The event that W or R occur and not S. 4. Given events W and S, only one of the two occurs. c c S W ( R S) c or R c S c ( W R) S ( W S ) ( W S) c

27 Complementary events are two outcomes of an event that are the only two possible outcomes. Ex: Complementary: Flipping a coin and getting heads or tails. Ex: Not Complementary: Rolling a die and getting a 1 or 2 All complementary events are mutually exclusive, but all mutually exclusive events are not necessarily complementary.

28 Events A & B are mutually exclusive if A B Mutually Exclusive Events (Disjoint Events): Two or more events that cannot occur at the same time. Describe two events that are mutually exclusive. Are these?? Rolling an even # and rolling an odd # on a die Yes- Mutually Exclusive Drawing a single card from a deck of cards and having it be a diamond and a red card. No! They can occur at the same time so they are NOT Mutually Exclusive.

29 YOU TRY! Are the events mutually exclusive? Find the probability. Spinner with numbers 1-8 1) What is the probability of spinning a 4 and a 6 at the same time on a single spin. Mutually Exclusive so the probability is 0. 2) Spinning an even number and a multiple of 3 at the same time on a single spin. NOT Mutually Exclusive (could be 6) so the probability is 1/8 3) Spinning an even number and a prime number on a single spin. Not Mutually Exclusive (could be 2) so probability is 1/8. 4) Spinning an even number and a number less than 2 on a single spin. Mutually Exclusive so the probability is 0.

30 An experiment consists of tossing a coin 3 times and observing the resulting sequence of heads and tails. Find the sample space of the experiment. (Hint: you may need to draw a tree diagram) > answer on next slide Determine the event E that exactly two heads appear. Determine the event F that at least one head appears.

31 An experiment consists of tossing a coin 3 times and observing the resulting sequence of heads and tails. Determine the event E that exactly two heads appear. {HHT}, {HTH}, {THH} Determine the event F that at least one head appears. Remember, Events are Sets -> use Set notation! {HHH}, {HHT}, {HTH}, {HTT}, {THH}, {THT}, {TTH}

32 An experiment consists of casting a pair of dice and observing the number that falls uppermost on each die. Create the sample space S for this experiment. (Hint: Create a table or chart) Die (1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6) 2 (2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (2, 6) 3 (3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (3, 6) 4 (4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (4, 6) 5 (5, 1) (5, 2) (5, 3) (5, 4) (5, 5) (5, 6) 6 (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6) Determine the events E 3 and E 7 that the sum of the numbers is 3 or 7, respectively. {1, 2}, {2, 1}, {3, 4}, {4, 3}, {2, 5}, {5, 2}, {6, 1}, {1, 6} Remember, Events are Sets -> use Set notation! *Needed for #21 in your HW

33 PRACTICE An experiment consists of casting a pair of dice and observing the number that falls uppermost on each die. Die (1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6) 2 (2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (2, 6) 3 (3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (3, 6) 4 (4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (4, 6) 5 (5, 1) (5, 2) (5, 3) (5, 4) (5, 5) (5, 6) 6 (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6) a) What are the events of rolling a product less than 6? {1, 1}, {2, 1}, {3, 1}, {4, 1}, {5, 1}, {1, 2}, {2, 2}, {1, 3}, {1, 4}, {1, 5} b) What are the events of rolling an odd number on the first die and a 4 on the second die? {1, 4}, {3, 4}, {5, 4}

34 Think of an experiment. Make it interesting. Don t use anything we ve discussed. Describe the sample space of the experiment. Construct two events, E and F, of the experiment. Find the union and intersection of E and F and the complement of E. Are E and F mutually exclusive? Explain. We ll share these with the rest of the class. (FUN!)

35 Homework Day 4 Tonight s HW = Quiz Review Sheet & Study for tomorrow s Quiz Study your notations, Formulas, etc!! Check Review Sheet answers online tonight!

Define and Diagram Outcomes (Subsets) of the Sample Space (Universal Set)

Define and Diagram Outcomes (Subsets) of the Sample Space (Universal Set) 12.3 and 12.4 Notes Geometry 1 Diagramming the Sample Space using Venn Diagrams A sample space represents all things that could occur for a given event. In set theory language this would be known as the

More information

EECS 203 Spring 2016 Lecture 15 Page 1 of 6

EECS 203 Spring 2016 Lecture 15 Page 1 of 6 EECS 203 Spring 2016 Lecture 15 Page 1 of 6 Counting We ve been working on counting for the last two lectures. We re going to continue on counting and probability for about 1.5 more lectures (including

More information

Combinatorics: The Fine Art of Counting

Combinatorics: The Fine Art of Counting Combinatorics: The Fine Art of Counting Week 6 Lecture Notes Discrete Probability Note Binomial coefficients are written horizontally. The symbol ~ is used to mean approximately equal. Introduction and

More information

Probability and Statistics. Copyright Cengage Learning. All rights reserved.

Probability and Statistics. Copyright Cengage Learning. All rights reserved. Probability and Statistics Copyright Cengage Learning. All rights reserved. 14.2 Probability Copyright Cengage Learning. All rights reserved. Objectives What Is Probability? Calculating Probability by

More information

FALL 2012 MATH 1324 REVIEW EXAM 4

FALL 2012 MATH 1324 REVIEW EXAM 4 FALL 01 MATH 134 REVIEW EXAM 4 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Write the sample space for the given experiment. 1) An ordinary die

More information

Probability Unit 6 Day 3

Probability Unit 6 Day 3 Probability Unit 6 Day 3 Warm-up: 1. If you have a standard deck of cards in how many different hands exists of: (Show work by hand but no need to write out the full factorial!) a) 5 cards b) 2 cards 2.

More information

Math 146 Statistics for the Health Sciences Additional Exercises on Chapter 3

Math 146 Statistics for the Health Sciences Additional Exercises on Chapter 3 Math 46 Statistics for the Health Sciences Additional Exercises on Chapter 3 Student Name: Find the indicated probability. ) If you flip a coin three times, the possible outcomes are HHH HHT HTH HTT THH

More information

Day 5: Mutually Exclusive and Inclusive Events. Honors Math 2 Unit 6: Probability

Day 5: Mutually Exclusive and Inclusive Events. Honors Math 2 Unit 6: Probability Day 5: Mutually Exclusive and Inclusive Events Honors Math 2 Unit 6: Probability Warm-up on Notebook paper (NOT in notes) 1. A local restaurant is offering taco specials. You can choose 1, 2 or 3 tacos

More information

Grade 6 Math Circles Fall Oct 14/15 Probability

Grade 6 Math Circles Fall Oct 14/15 Probability 1 Faculty of Mathematics Waterloo, Ontario Centre for Education in Mathematics and Computing Grade 6 Math Circles Fall 2014 - Oct 14/15 Probability Probability is the likelihood of an event occurring.

More information

Lesson 15.5: Independent and Dependent Events

Lesson 15.5: Independent and Dependent Events Lesson 15.5: Independent and Dependent Events Sep 26 10:07 PM 1 Work with a partner. You have three marbles in a bag. There are two green marbles and one purple marble. Randomly draw a marble from the

More information

Probability: Terminology and Examples Spring January 1, / 22

Probability: Terminology and Examples Spring January 1, / 22 Probability: Terminology and Examples 18.05 Spring 2014 January 1, 2017 1 / 22 Board Question Deck of 52 cards 13 ranks: 2, 3,..., 9, 10, J, Q, K, A 4 suits:,,,, Poker hands Consists of 5 cards A one-pair

More information

Homework #1-19: Use the Counting Principle to answer the following questions.

Homework #1-19: Use the Counting Principle to answer the following questions. Section 4.3: Tree Diagrams and the Counting Principle Homework #1-19: Use the Counting Principle to answer the following questions. 1) If two dates are selected at random from the 365 days of the year

More information

Math141_Fall_2012 ( Business Mathematics 1) Week 7. Dr. Marco A. Roque Sol Department of Mathematics Texas A&M University

Math141_Fall_2012 ( Business Mathematics 1) Week 7. Dr. Marco A. Roque Sol Department of Mathematics Texas A&M University ( Business Mathematics 1) Week 7 Dr. Marco A. Roque Department of Mathematics Texas A&M University In this sections we will consider two types of arrangements, namely, permutations and combinations a.

More information

STAT 430/510 Probability Lecture 3: Space and Event; Sample Spaces with Equally Likely Outcomes

STAT 430/510 Probability Lecture 3: Space and Event; Sample Spaces with Equally Likely Outcomes STAT 430/510 Probability Lecture 3: Space and Event; Sample Spaces with Equally Likely Outcomes Pengyuan (Penelope) Wang May 25, 2011 Review We have discussed counting techniques in Chapter 1. (Principle

More information

Probability Assignment

Probability Assignment Name Probability Assignment Student # Hr 1. An experiment consists of spinning the spinner one time. a. How many possible outcomes are there? b. List the sample space for the experiment. c. Determine the

More information

Bell Work. Warm-Up Exercises. Two six-sided dice are rolled. Find the probability of each sum or 7

Bell Work. Warm-Up Exercises. Two six-sided dice are rolled. Find the probability of each sum or 7 Warm-Up Exercises Two six-sided dice are rolled. Find the probability of each sum. 1. 7 Bell Work 2. 5 or 7 3. You toss a coin 3 times. What is the probability of getting 3 heads? Warm-Up Notes Exercises

More information

Probability. Dr. Zhang Fordham Univ.

Probability. Dr. Zhang Fordham Univ. Probability! Dr. Zhang Fordham Univ. 1 Probability: outline Introduction! Experiment, event, sample space! Probability of events! Calculate Probability! Through counting! Sum rule and general sum rule!

More information

Section Introduction to Sets

Section Introduction to Sets Section 1.1 - Introduction to Sets Definition: A set is a well-defined collection of objects usually denoted by uppercase letters. Definition: The elements, or members, of a set are denoted by lowercase

More information

Probability. Ms. Weinstein Probability & Statistics

Probability. Ms. Weinstein Probability & Statistics Probability Ms. Weinstein Probability & Statistics Definitions Sample Space The sample space, S, of a random phenomenon is the set of all possible outcomes. Event An event is a set of outcomes of a random

More information

8.2 Union, Intersection, and Complement of Events; Odds

8.2 Union, Intersection, and Complement of Events; Odds 8.2 Union, Intersection, and Complement of Events; Odds Since we defined an event as a subset of a sample space it is natural to consider set operations like union, intersection or complement in the context

More information

4.1 Sample Spaces and Events

4.1 Sample Spaces and Events 4.1 Sample Spaces and Events An experiment is an activity that has observable results. Examples: Tossing a coin, rolling dice, picking marbles out of a jar, etc. The result of an experiment is called an

More information

STOR 155 Introductory Statistics. Lecture 10: Randomness and Probability Model

STOR 155 Introductory Statistics. Lecture 10: Randomness and Probability Model The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STOR 155 Introductory Statistics Lecture 10: Randomness and Probability Model 10/6/09 Lecture 10 1 The Monty Hall Problem Let s Make A Deal: a game show

More information

Probability Rules. 2) The probability, P, of any event ranges from which of the following?

Probability Rules. 2) The probability, P, of any event ranges from which of the following? Name: WORKSHEET : Date: Answer the following questions. 1) Probability of event E occurring is... P(E) = Number of ways to get E/Total number of outcomes possible in S, the sample space....if. 2) The probability,

More information

RANDOM EXPERIMENTS AND EVENTS

RANDOM EXPERIMENTS AND EVENTS Random Experiments and Events 18 RANDOM EXPERIMENTS AND EVENTS In day-to-day life we see that before commencement of a cricket match two captains go for a toss. Tossing of a coin is an activity and getting

More information

LC OL Probability. ARNMaths.weebly.com. As part of Leaving Certificate Ordinary Level Math you should be able to complete the following.

LC OL Probability. ARNMaths.weebly.com. As part of Leaving Certificate Ordinary Level Math you should be able to complete the following. A Ryan LC OL Probability ARNMaths.weebly.com Learning Outcomes As part of Leaving Certificate Ordinary Level Math you should be able to complete the following. Counting List outcomes of an experiment Apply

More information

Sample Spaces, Events, Probability

Sample Spaces, Events, Probability Sample Spaces, Events, Probability CS 3130/ECE 3530: Probability and Statistics for Engineers August 28, 2014 Sets A set is a collection of unique objects. Sets A set is a collection of unique objects.

More information

Probability Models. Section 6.2

Probability Models. Section 6.2 Probability Models Section 6.2 The Language of Probability What is random? Empirical means that it is based on observation rather than theorizing. Probability describes what happens in MANY trials. Example

More information

MEP Practice Book SA5

MEP Practice Book SA5 5 Probability 5.1 Probabilities MEP Practice Book SA5 1. Describe the probability of the following events happening, using the terms Certain Very likely Possible Very unlikely Impossible (d) (e) (f) (g)

More information

Def: The intersection of A and B is the set of all elements common to both set A and set B

Def: The intersection of A and B is the set of all elements common to both set A and set B Def: Sample Space the set of all possible outcomes Def: Element an item in the set Ex: The number "3" is an element of the "rolling a die" sample space Main concept write in Interactive Notebook Intersection:

More information

Probability Review before Quiz. Unit 6 Day 6 Probability

Probability Review before Quiz. Unit 6 Day 6 Probability Probability Review before Quiz Unit 6 Day 6 Probability Warm-up: Day 6 1. A committee is to be formed consisting of 1 freshman, 1 sophomore, 2 juniors, and 2 seniors. How many ways can this committee be

More information

Chapter 1: Sets and Probability

Chapter 1: Sets and Probability Chapter 1: Sets and Probability Section 1.3-1.5 Recap: Sample Spaces and Events An is an activity that has observable results. An is the result of an experiment. Example 1 Examples of experiments: Flipping

More information

heads 1/2 1/6 roll a die sum on 2 dice 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 1, 2, 3, 4, 5, 6 heads tails 3/36 = 1/12 toss a coin trial: an occurrence

heads 1/2 1/6 roll a die sum on 2 dice 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 1, 2, 3, 4, 5, 6 heads tails 3/36 = 1/12 toss a coin trial: an occurrence trial: an occurrence roll a die toss a coin sum on 2 dice sample space: all the things that could happen in each trial 1, 2, 3, 4, 5, 6 heads tails 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 example of an outcome:

More information

STAT 155 Introductory Statistics. Lecture 11: Randomness and Probability Model

STAT 155 Introductory Statistics. Lecture 11: Randomness and Probability Model The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STAT 155 Introductory Statistics Lecture 11: Randomness and Probability Model 10/5/06 Lecture 11 1 The Monty Hall Problem Let s Make A Deal: a game show

More information

Probability of Independent and Dependent Events

Probability of Independent and Dependent Events 706 Practice A Probability of In and ependent Events ecide whether each set of events is or. Explain your answer.. A student spins a spinner and rolls a number cube.. A student picks a raffle ticket from

More information

MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability. Preliminary Concepts, Formulas, and Terminology

MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability. Preliminary Concepts, Formulas, and Terminology MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability Preliminary Concepts, Formulas, and Terminology Meanings of Basic Arithmetic Operations in Mathematics Addition: Generally

More information

Chapter 1. Probability

Chapter 1. Probability Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.

More information

7.1 Experiments, Sample Spaces, and Events

7.1 Experiments, Sample Spaces, and Events 7.1 Experiments, Sample Spaces, and Events An experiment is an activity that has observable results. Examples: Tossing a coin, rolling dice, picking marbles out of a jar, etc. The result of an experiment

More information

Chapter 1. Probability

Chapter 1. Probability Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.

More information

Quiz 2 Review - on Notebook Paper Are You Ready For Your Last Quiz In Honors Math II??

Quiz 2 Review - on Notebook Paper Are You Ready For Your Last Quiz In Honors Math II?? Quiz 2 Review - on Notebook Paper Are You Ready For Your Last Quiz In Honors Math II?? Some things to Know, Memorize, AND Understand how to use are n What are the formulas? Pr ncr Fill in the notation

More information

Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College

Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College Probability The MEnTe Program Math Enrichment through Technology Title V East Los Angeles College 2003 East Los Angeles College. All rights reserved. Topics Introduction Empirical Probability Theoretical

More information

Exercise Class XI Chapter 16 Probability Maths

Exercise Class XI Chapter 16 Probability Maths Exercise 16.1 Question 1: Describe the sample space for the indicated experiment: A coin is tossed three times. A coin has two faces: head (H) and tail (T). When a coin is tossed three times, the total

More information

CS 361: Probability & Statistics

CS 361: Probability & Statistics January 31, 2018 CS 361: Probability & Statistics Probability Probability theory Probability Reasoning about uncertain situations with formal models Allows us to compute probabilities Experiments will

More information

TJP TOP TIPS FOR IGCSE STATS & PROBABILITY

TJP TOP TIPS FOR IGCSE STATS & PROBABILITY TJP TOP TIPS FOR IGCSE STATS & PROBABILITY Dr T J Price, 2011 First, some important words; know what they mean (get someone to test you): Mean the sum of the data values divided by the number of items.

More information

b. 2 ; the probability of choosing a white d. P(white) 25, or a a. Since the probability of choosing a

b. 2 ; the probability of choosing a white d. P(white) 25, or a a. Since the probability of choosing a Applications. a. P(green) =, P(yellow) = 2, or 2, P(red) = 2 ; three of the four blocks are not red. d. 2. a. P(green) = 2 25, P(purple) = 6 25, P(orange) = 2 25, P(yellow) = 5 25, or 5 2 6 2 5 25 25 25

More information

Intermediate Math Circles November 1, 2017 Probability I

Intermediate Math Circles November 1, 2017 Probability I Intermediate Math Circles November 1, 2017 Probability I Probability is the study of uncertain events or outcomes. Games of chance that involve rolling dice or dealing cards are one obvious area of application.

More information

Name: Class: Date: Probability/Counting Multiple Choice Pre-Test

Name: Class: Date: Probability/Counting Multiple Choice Pre-Test Name: _ lass: _ ate: Probability/ounting Multiple hoice Pre-Test Multiple hoice Identify the choice that best completes the statement or answers the question. 1 The dartboard has 8 sections of equal area.

More information

Chapter 3: PROBABILITY

Chapter 3: PROBABILITY Chapter 3 Math 3201 1 3.1 Exploring Probability: P(event) = Chapter 3: PROBABILITY number of outcomes favourable to the event total number of outcomes in the sample space An event is any collection of

More information

Page 1 of 22. Website: Mobile:

Page 1 of 22. Website:    Mobile: Exercise 15.1 Question 1: Complete the following statements: (i) Probability of an event E + Probability of the event not E =. (ii) The probability of an event that cannot happen is. Such as event is called.

More information

UNIT 4 APPLICATIONS OF PROBABILITY Lesson 1: Events. Instruction. Guided Practice Example 1

UNIT 4 APPLICATIONS OF PROBABILITY Lesson 1: Events. Instruction. Guided Practice Example 1 Guided Practice Example 1 Bobbi tosses a coin 3 times. What is the probability that she gets exactly 2 heads? Write your answer as a fraction, as a decimal, and as a percent. Sample space = {HHH, HHT,

More information

Classical vs. Empirical Probability Activity

Classical vs. Empirical Probability Activity Name: Date: Hour : Classical vs. Empirical Probability Activity (100 Formative Points) For this activity, you will be taking part in 5 different probability experiments: Rolling dice, drawing cards, drawing

More information

Class XII Chapter 13 Probability Maths. Exercise 13.1

Class XII Chapter 13 Probability Maths. Exercise 13.1 Exercise 13.1 Question 1: Given that E and F are events such that P(E) = 0.6, P(F) = 0.3 and P(E F) = 0.2, find P (E F) and P(F E). It is given that P(E) = 0.6, P(F) = 0.3, and P(E F) = 0.2 Question 2:

More information

INDEPENDENT AND DEPENDENT EVENTS UNIT 6: PROBABILITY DAY 2

INDEPENDENT AND DEPENDENT EVENTS UNIT 6: PROBABILITY DAY 2 INDEPENDENT AND DEPENDENT EVENTS UNIT 6: PROBABILITY DAY 2 WARM UP Students in a mathematics class pick a card from a standard deck of 52 cards, record the suit, and return the card to the deck. The results

More information

Math 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability

Math 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability Math 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability Student Name: Find the indicated probability. 1) If you flip a coin three times, the possible outcomes are HHH

More information

Name: 1. Match the word with the definition (1 point each - no partial credit!)

Name: 1. Match the word with the definition (1 point each - no partial credit!) Chapter 12 Exam Name: Answer the questions in the spaces provided. If you run out of room, show your work on a separate paper clearly numbered and attached to this exam. SHOW ALL YOUR WORK!!! Remember

More information

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events CHAPTER 2 PROBABILITY 2.1 Sample Space A probability model consists of the sample space and the way to assign probabilities. Sample space & sample point The sample space S, is the set of all possible outcomes

More information

3 The multiplication rule/miscellaneous counting problems

3 The multiplication rule/miscellaneous counting problems Practice for Exam 1 1 Axioms of probability, disjoint and independent events 1 Suppose P (A 0, P (B 05 (a If A and B are independent, what is P (A B? What is P (A B? (b If A and B are disjoint, what is

More information

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE MATH 205 - CALCULUS & STATISTICS/BUSN - PRACTICE EXAM # - SPRING 2006 - DR. DAVID BRIDGE TRUE/FALSE. Write 'T' if the statement is true and 'F' if the statement is false. Tell whether the statement is

More information

Unit 14 Probability. Target 3 Calculate the probability of independent and dependent events (compound) AND/THEN statements

Unit 14 Probability. Target 3 Calculate the probability of independent and dependent events (compound) AND/THEN statements Target 1 Calculate the probability of an event Unit 14 Probability Target 2 Calculate a sample space 14.2a Tree Diagrams, Factorials, and Permutations 14.2b Combinations Target 3 Calculate the probability

More information

3. a. P(white) =, or. b. ; the probability of choosing a white block. d. P(white) =, or. 4. a. = 1 b. 0 c. = 0

3. a. P(white) =, or. b. ; the probability of choosing a white block. d. P(white) =, or. 4. a. = 1 b. 0 c. = 0 Answers Investigation ACE Assignment Choices Problem. Core, 6 Other Connections, Extensions Problem. Core 6 Other Connections 7 ; unassigned choices from previous problems Problem. Core 7 9 Other Connections

More information

The Teachers Circle Mar. 20, 2012 HOW TO GAMBLE IF YOU MUST (I ll bet you $5 that if you give me $10, I ll give you $20.)

The Teachers Circle Mar. 20, 2012 HOW TO GAMBLE IF YOU MUST (I ll bet you $5 that if you give me $10, I ll give you $20.) The Teachers Circle Mar. 2, 22 HOW TO GAMBLE IF YOU MUST (I ll bet you $ that if you give me $, I ll give you $2.) Instructor: Paul Zeitz (zeitzp@usfca.edu) Basic Laws and Definitions of Probability If

More information

Chapter 8: Probability: The Mathematics of Chance

Chapter 8: Probability: The Mathematics of Chance Chapter 8: Probability: The Mathematics of Chance Free-Response 1. A spinner with regions numbered 1 to 4 is spun and a coin is tossed. Both the number spun and whether the coin lands heads or tails is

More information

CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY

CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY Probability is the Probability is used in many real-world fields, such as insurance, medical research, law enforcement, and political science. Objectives:

More information

Block 1 - Sets and Basic Combinatorics. Main Topics in Block 1:

Block 1 - Sets and Basic Combinatorics. Main Topics in Block 1: Block 1 - Sets and Basic Combinatorics Main Topics in Block 1: A short revision of some set theory Sets and subsets. Venn diagrams to represent sets. Describing sets using rules of inclusion. Set operations.

More information

Such a description is the basis for a probability model. Here is the basic vocabulary we use.

Such a description is the basis for a probability model. Here is the basic vocabulary we use. 5.2.1 Probability Models When we toss a coin, we can t know the outcome in advance. What do we know? We are willing to say that the outcome will be either heads or tails. We believe that each of these

More information

Statistics Intermediate Probability

Statistics Intermediate Probability Session 6 oscardavid.barrerarodriguez@sciencespo.fr April 3, 2018 and Sampling from a Population Outline 1 The Monty Hall Paradox Some Concepts: Event Algebra Axioms and Things About that are True Counting

More information

Chapter 4: Introduction to Probability

Chapter 4: Introduction to Probability MTH 243 Chapter 4: Introduction to Probability Suppose that we found that one of our pieces of data was unusual. For example suppose our pack of M&M s only had 30 and that was 3.1 standard deviations below

More information

November 6, Chapter 8: Probability: The Mathematics of Chance

November 6, Chapter 8: Probability: The Mathematics of Chance Chapter 8: Probability: The Mathematics of Chance November 6, 2013 Last Time Crystallographic notation Groups Crystallographic notation The first symbol is always a p, which indicates that the pattern

More information

If a regular six-sided die is rolled, the possible outcomes can be listed as {1, 2, 3, 4, 5, 6} there are 6 outcomes.

If a regular six-sided die is rolled, the possible outcomes can be listed as {1, 2, 3, 4, 5, 6} there are 6 outcomes. Section 11.1: The Counting Principle 1. Combinatorics is the study of counting the different outcomes of some task. For example If a coin is flipped, the side facing upward will be a head or a tail the

More information

Probability and the Monty Hall Problem Rong Huang January 10, 2016

Probability and the Monty Hall Problem Rong Huang January 10, 2016 Probability and the Monty Hall Problem Rong Huang January 10, 2016 Warm-up: There is a sequence of number: 1, 2, 4, 8, 16, 32, 64, How does this sequence work? How do you get the next number from the previous

More information

Section 7.1 Experiments, Sample Spaces, and Events

Section 7.1 Experiments, Sample Spaces, and Events Section 7.1 Experiments, Sample Spaces, and Events Experiments An experiment is an activity with observable results. 1. Which of the follow are experiments? (a) Going into a room and turning on a light.

More information

Outcomes: The outcomes of this experiment are yellow, blue, red and green.

Outcomes: The outcomes of this experiment are yellow, blue, red and green. (Adapted from http://www.mathgoodies.com/) 1. Sample Space The sample space of an experiment is the set of all possible outcomes of that experiment. The sum of the probabilities of the distinct outcomes

More information

4.3 Rules of Probability

4.3 Rules of Probability 4.3 Rules of Probability If a probability distribution is not uniform, to find the probability of a given event, add up the probabilities of all the individual outcomes that make up the event. Example:

More information

Probability (Devore Chapter Two)

Probability (Devore Chapter Two) Probability (Devore Chapter Two) 1016-351-01 Probability Winter 2011-2012 Contents 1 Axiomatic Probability 2 1.1 Outcomes and Events............................... 2 1.2 Rules of Probability................................

More information

Independent Events B R Y

Independent Events B R Y . Independent Events Lesson Objectives Understand independent events. Use the multiplication rule and the addition rule of probability to solve problems with independent events. Vocabulary independent

More information

CSC/MATA67 Tutorial, Week 12

CSC/MATA67 Tutorial, Week 12 CSC/MATA67 Tutorial, Week 12 November 23, 2017 1 More counting problems A class consists of 15 students of whom 5 are prefects. Q: How many committees of 8 can be formed if each consists of a) exactly

More information

Name. Is the game fair or not? Prove your answer with math. If the game is fair, play it 36 times and record the results.

Name. Is the game fair or not? Prove your answer with math. If the game is fair, play it 36 times and record the results. Homework 5.1C You must complete table. Use math to decide if the game is fair or not. If Period the game is not fair, change the point system to make it fair. Game 1 Circle one: Fair or Not 2 six sided

More information

Probability and Randomness. Day 1

Probability and Randomness. Day 1 Probability and Randomness Day 1 Randomness and Probability The mathematics of chance is called. The probability of any outcome of a chance process is a number between that describes the proportion of

More information

Section : Combinations and Permutations

Section : Combinations and Permutations Section 11.1-11.2: Combinations and Permutations Diana Pell A construction crew has three members. A team of two must be chosen for a particular job. In how many ways can the team be chosen? How many words

More information

10-4 Theoretical Probability

10-4 Theoretical Probability Problem of the Day A spinner is divided into 4 different colored sections. It is designed so that the probability of spinning red is twice the probability of spinning green, the probability of spinning

More information

Basic Probability. Let! = # 8 # < 13, # N -,., and / are the subsets of! such that - = multiples of four. = factors of 24 / = square numbers

Basic Probability. Let! = # 8 # < 13, # N -,., and / are the subsets of! such that - = multiples of four. = factors of 24 / = square numbers Basic Probability Let! = # 8 # < 13, # N -,., and / are the subsets of! such that - = multiples of four. = factors of 24 / = square numbers (a) List the elements of!. (b) (i) Draw a Venn diagram to show

More information

The study of probability is concerned with the likelihood of events occurring. Many situations can be analyzed using a simplified model of probability

The study of probability is concerned with the likelihood of events occurring. Many situations can be analyzed using a simplified model of probability The study of probability is concerned with the likelihood of events occurring Like combinatorics, the origins of probability theory can be traced back to the study of gambling games Still a popular branch

More information

Fundamental. If one event can occur m ways and another event can occur n ways, then the number of ways both events can occur is:.

Fundamental. If one event can occur m ways and another event can occur n ways, then the number of ways both events can occur is:. 12.1 The Fundamental Counting Principle and Permutations Objectives 1. Use the fundamental counting principle to count the number of ways an event can happen. 2. Use the permutations to count the number

More information

Probability MAT230. Fall Discrete Mathematics. MAT230 (Discrete Math) Probability Fall / 37

Probability MAT230. Fall Discrete Mathematics. MAT230 (Discrete Math) Probability Fall / 37 Probability MAT230 Discrete Mathematics Fall 2018 MAT230 (Discrete Math) Probability Fall 2018 1 / 37 Outline 1 Discrete Probability 2 Sum and Product Rules for Probability 3 Expected Value MAT230 (Discrete

More information

MEP Practice Book ES5. 1. A coin is tossed, and a die is thrown. List all the possible outcomes.

MEP Practice Book ES5. 1. A coin is tossed, and a die is thrown. List all the possible outcomes. 5 Probability MEP Practice Book ES5 5. Outcome of Two Events 1. A coin is tossed, and a die is thrown. List all the possible outcomes. 2. A die is thrown twice. Copy the diagram below which shows all the

More information

Counting methods (Part 4): More combinations

Counting methods (Part 4): More combinations April 13, 2009 Counting methods (Part 4): More combinations page 1 Counting methods (Part 4): More combinations Recap of last lesson: The combination number n C r is the answer to this counting question:

More information

Name: Class: Date: 6. An event occurs, on average, every 6 out of 17 times during a simulation. The experimental probability of this event is 11

Name: Class: Date: 6. An event occurs, on average, every 6 out of 17 times during a simulation. The experimental probability of this event is 11 Class: Date: Sample Mastery # Multiple Choice Identify the choice that best completes the statement or answers the question.. One repetition of an experiment is known as a(n) random variable expected value

More information

Probability. March 06, J. Boulton MDM 4U1. P(A) = n(a) n(s) Introductory Probability

Probability. March 06, J. Boulton MDM 4U1. P(A) = n(a) n(s) Introductory Probability Most people think they understand odds and probability. Do you? Decision 1: Pick a card Decision 2: Switch or don't Outcomes: Make a tree diagram Do you think you understand probability? Probability Write

More information

Lesson 10: Using Simulation to Estimate a Probability

Lesson 10: Using Simulation to Estimate a Probability Lesson 10: Using Simulation to Estimate a Probability Classwork In previous lessons, you estimated probabilities of events by collecting data empirically or by establishing a theoretical probability model.

More information

= = 0.1%. On the other hand, if there are three winning tickets, then the probability of winning one of these winning tickets must be 3 (1)

= = 0.1%. On the other hand, if there are three winning tickets, then the probability of winning one of these winning tickets must be 3 (1) MA 5 Lecture - Binomial Probabilities Wednesday, April 25, 202. Objectives: Introduce combinations and Pascal s triangle. The Fibonacci sequence had a number pattern that we could analyze in different

More information

Probability --QUESTIONS-- Principles of Math 12 - Probability Practice Exam 1

Probability --QUESTIONS-- Principles of Math 12 - Probability Practice Exam 1 Probability --QUESTIONS-- Principles of Math - Probability Practice Exam www.math.com Principles of Math : Probability Practice Exam Use this sheet to record your answers:... 4... 4... 4.. 6. 4.. 6. 7..

More information

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples Section 6.1 An Introduction to Discrete Probability Page references correspond to locations of Extra Examples icons in the textbook.

More information

Use a tree diagram to find the number of possible outcomes. 2. How many outcomes are there altogether? 2.

Use a tree diagram to find the number of possible outcomes. 2. How many outcomes are there altogether? 2. Use a tree diagram to find the number of possible outcomes. 1. A pouch contains a blue chip and a red chip. A second pouch contains two blue chips and a red chip. A chip is picked from each pouch. The

More information

Independent and Mutually Exclusive Events

Independent and Mutually Exclusive Events Independent and Mutually Exclusive Events By: OpenStaxCollege Independent and mutually exclusive do not mean the same thing. Independent Events Two events are independent if the following are true: P(A

More information

Worksheets for GCSE Mathematics. Probability. mr-mathematics.com Maths Resources for Teachers. Handling Data

Worksheets for GCSE Mathematics. Probability. mr-mathematics.com Maths Resources for Teachers. Handling Data Worksheets for GCSE Mathematics Probability mr-mathematics.com Maths Resources for Teachers Handling Data Probability Worksheets Contents Differentiated Independent Learning Worksheets Probability Scales

More information

Mutually Exclusive Events

Mutually Exclusive Events Mutually Exclusive Events Suppose you are rolling a six-sided die. What is the probability that you roll an odd number and you roll a 2? Can these both occur at the same time? Why or why not? Mutually

More information

The probability set-up

The probability set-up CHAPTER 2 The probability set-up 2.1. Introduction and basic theory We will have a sample space, denoted S (sometimes Ω) that consists of all possible outcomes. For example, if we roll two dice, the sample

More information

Probability and Counting Techniques

Probability and Counting Techniques Probability and Counting Techniques Diana Pell (Multiplication Principle) Suppose that a task consists of t choices performed consecutively. Suppose that choice 1 can be performed in m 1 ways; for each

More information

Diamond ( ) (Black coloured) (Black coloured) (Red coloured) ILLUSTRATIVE EXAMPLES

Diamond ( ) (Black coloured) (Black coloured) (Red coloured) ILLUSTRATIVE EXAMPLES CHAPTER 15 PROBABILITY Points to Remember : 1. In the experimental approach to probability, we find the probability of the occurence of an event by actually performing the experiment a number of times

More information

Section The Multiplication Principle and Permutations

Section The Multiplication Principle and Permutations Section 2.1 - The Multiplication Principle and Permutations Example 1: A yogurt shop has 4 flavors (chocolate, vanilla, strawberry, and blueberry) and three sizes (small, medium, and large). How many different

More information

Probability Exercise 2

Probability Exercise 2 Probability Exercise 2 1 Question 9 A box contains 5 red marbles, 8 white marbles and 4 green marbles. One marble is taken out of the box at random. What is the probability that the marble taken out will

More information